README.md

In YoungeunS/rbarima: Forecasting tool for Bass diffusion and ARIMA

rbarima

Title: rbarima\ Version: 0.0.0.9001\ Author: Youngeun Shin [e-mail]\ Description: R shiny forecasting tool for Bass diffusion and ARIMA

Installation

library(devtools)
install_github("YoungeunS/rbarima")

Imports

Depends:\ R (>= 3.4.4),\ shiny (>= 0.13)

library(shiny);library(readr);library(rbarima);library(dplyr);library(tidyr);library(tseries);library(forecast);library(data.table);library(nlstools);library(minpack.lm);library(propagate);library(ggplot2);library(shinydashboard);library(reshape2);library(rsconnect);library(cowplot);library(grid);library(ggthemes);library(DT);library(stats);library(plotly);library(formattable)

Example code - Facebook MAU data

fb <- read_csv("data/Facebook_MAU_2005-2017.csv")
rbarima(fb, Measure = "MAU", Time = c("Year", "Quarter"), Pred.time = 4,launch.browser = TRUE)

YoungeunS/rbarima documentation built on May 6, 2019, 8:02 p.m.